Principles of Artificial Intelligence

Syllabus

Principles of Artificial Intelligence

Unit 1

Introduction to AI and Intelligent agent

Different Approach of AI, Problem Solving : Solving Problems by Searching, Uninformed search, BFS, DFS, Iterative deepening, Bi directional search, Hill climbing, Informed search techniques: heuristic, Greedy search, A*
search, AO* search, constraint satisfaction problems. 

Unit 2

Game Playing


Minimax, alpha-beta pruning, jug problem, chess
problem, tiles problem 

Unit 3

Knowledge and Reasoning

Building a Knowledge Base: Propositional logic, first order logic, situation calculus. Theorem Proving in First Order Logic. Planning, partial order planning. Uncertain Knowledge and Reasoning, Probabilities, Bayesian Networks. 

Unit 4

Learning

Overview of different forms of learning, Supervised base
learning: Learning Decision Trees, SVM, Unsupervised based
learning, Market Basket Analysis, Neural Networks.

Unit 5

Introduction to Natural Language Processing

Different issue involved in NLP, Expert System, Robotics.

Complete Material at one Place

Notes

Principles of Artificial Intelligence Notes

Books

Principles of Artificial Intelligence Books

Assignment

Principles of Artificial Intelligence Assignment

Lab Work

Principles of Artificial Intelligence Lab Work

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